Zeitschriftenartikel zum Thema „Runoff Measurement Mathematical models“
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Taylor, K., J. A. D. Ranga Niroshan Appuhamy, J. Dijkstra und E. Kebreab. „Development of mathematical models to predict calcium, magnesium and selenium excretion from lactating Holstein cows“. Animal Production Science 58, Nr. 3 (2018): 489. http://dx.doi.org/10.1071/an16307.
Chen, Jiongfeng, und Wan-chang Zhang. „A new numerical model for simulating top surface soil moisture and runoff“. Engineering Computations 35, Nr. 3 (08.05.2018): 1344–63. http://dx.doi.org/10.1108/ec-01-2017-0031.
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Stentsel, Yo I., und K. A. Litvinov. „Mathematical Models of Conservative Objects of Control“. Metrology and instruments, Nr. 1 (02.03.2020): 30–36. http://dx.doi.org/10.33955/2307-2180(1)2020.30-36.
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James, William, und Boregowda Shivalingaiah. „Storm water pollution modelling: buildup of dust and dirt on surfaces subject to runoff“. Canadian Journal of Civil Engineering 12, Nr. 4 (01.12.1985): 906–15. http://dx.doi.org/10.1139/l85-103.
Velmisov, Petr A., und Yuliya A. Tamarova. „Mathematical modeling of pressure measurement systems in gas-liquid media“. Zhurnal Srednevolzhskogo Matematicheskogo Obshchestva 22, Nr. 3 (30.09.2020): 352–67. http://dx.doi.org/10.15507/2079-6900.22.202003.352-367.
Plis, Marcin, und Henryk Rusinowski. „Identification of mathematical models of thermal processes with reconciled measurement results“. Energy 177 (Juni 2019): 192–202. http://dx.doi.org/10.1016/j.energy.2019.04.076.
Liang, Jing, Wenzhe Li, Scott Bradford und Jiří Šimůnek. „Physics-Informed Data-Driven Models to Predict Surface Runoff Water Quantity and Quality in Agricultural Fields“. Water 11, Nr. 2 (24.01.2019): 200. http://dx.doi.org/10.3390/w11020200.
Li, Tilai, Xiangyu Gao, Xinzhou Zhang und Yinshuang Wang. „IMPACT OF RUNOFF ON SALT INTRUSION OF YANGTZE ESTUARY“. Coastal Engineering Proceedings 1, Nr. 32 (02.02.2011): 49. http://dx.doi.org/10.9753/icce.v32.management.49.
Despotović, J., J. Petrović und N. Jacimović. „Measurement, calibration of rainfall-runoff models and assessment of the return period of flooding events at urban catchment Kumodraz in Belgrade“. Water Science and Technology 45, Nr. 2 (01.01.2002): 127–33. http://dx.doi.org/10.2166/wst.2002.0037.
Dinu, Cristian, Radu Drobot, Claudiu Pricop und Tudor Viorel Blidaru. „Genetic Programming Technique Applied for Flash-Flood Modelling Using Radar Rainfall Estimates“. Mathematical Modelling in Civil Engineering 13, Nr. 4 (20.12.2017): 27–38. http://dx.doi.org/10.1515/mmce-2017-0012.
Piotrowski, Adam P., Marzena Osuch und Jarosław J. Napiorkowski. „Joint Optimization of Conceptual Rainfall-Runoff Model Parameters and Weights Attributed to Meteorological Stations“. Water Resources Management 33, Nr. 13 (Oktober 2019): 4509–24. http://dx.doi.org/10.1007/s11269-019-02368-8.
BANSUDE, S. N., G. L. CHUNALE, A. A. SHINDE und PRAVENDRA KUMAR. „Comparison between two different conceptual mathematical models in prediction of direct runoff hydrographs from a small watershed“. INTERNATIONAL JOURNAL OF AGRICULTURAL ENGINEERING 8, Nr. 1 (15.04.2015): 60–65. http://dx.doi.org/10.15740/has/ijae/8.1/60-65.
Bityukov, V. K., A. A. Khvostov, S. A. Titov, P. A. Sotnikov und M. A. Zaichikov. „Mathematical Models of Acoustic Measurement of the Degree of Crystallinity of Rubbers“. International Polymer Science and Technology 34, Nr. 7 (Juli 2007): 35–40. http://dx.doi.org/10.1177/0307174x0703400707.
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Ohkura, Michiko, Yasuyuki Yanagida, Taro Maeda und Susumu Tachi. „Measurement of auditory alleys in a virtual environment and their mathematical models“. Systems and Computers in Japan 31, Nr. 4 (April 2000): 12–21. http://dx.doi.org/10.1002/(sici)1520-684x(200004)31:4<12::aid-scj2>3.0.co;2-#.
Sun, Yuzhu, Xingfu Song, Jin Wang, Yan Luo und Jianguo Yu. „Unseeded Supersolubility of Lithium Carbonate: Experimental Measurement and Simulation with Mathematical Models“. Journal of Crystal Growth 311, Nr. 23-24 (Dezember 2009): 4714–19. http://dx.doi.org/10.1016/j.jcrysgro.2009.09.013.
Patel, Ajaykumar Bhagubhai, und Geeta S. Joshi. „Modeling of Rainfall-Runoff Correlations Using Artificial Neural Network-A Case Study of Dharoi Watershed of a Sabarmati River Basin, India“. Civil Engineering Journal 3, Nr. 2 (28.02.2017): 78–87. http://dx.doi.org/10.28991/cej-2017-00000074.
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Panidi, E., L. Trofimetz, J. Sokolova und E. Kunaeva. „LARGE-SCALE INDICATIVE MAPPING OF SOIL RUNOFF“. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W2 (16.11.2017): 175–78. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w2-175-2017.
Li, Yu Hong, Wei Ding und Shan Ding. „Laser Beam Measurement Based on Image Enhancement Algorithm“. Advanced Materials Research 225-226 (April 2011): 666–69. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.666.
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Yang, Ting, Quanjiu Wang, Yanli Liu, Pengyu Zhang und Laosheng Wu. „A comparison of mathematical models for chemical transfer from soil to surface runoff with the impact of rain“. CATENA 137 (Februar 2016): 191–202. http://dx.doi.org/10.1016/j.catena.2015.09.014.
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